JuICe (JuICe Dataset)
Introduced by Agashe et al. in JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
JuICe is a corpus of 1.5 million examples with a curated test set of 3.7K instances based on online programming assignments. Compared with existing contextual code generation datasets, JuICe provides refined human-curated data, open-domain code, and an order of magnitude more training data.
Source: JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code GenerationPapers
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